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David Saloner - One of the best experts on this subject based on the ideXlab platform.

  • Semi-automated computer assessment of the degree of carotid artery stenosis compares favorably to visual evaluation.
    Journal of the neurological sciences, 2008
    Co-Authors: Max Wintermark, Christine Glastonbury, Elizabeth Tong, Benison C Lau, Sarah Schaeffer, Jeffrey D Chien, Peter J Haar, David Saloner
    Abstract:

    To validate a semi-automated computer approach for the assessment of the degree of carotid artery luminal narrowing by comparing it to the visual evaluation by a Neuroradiologist. In a retrospective cross-sectional study, consecutive emergency department patients who underwent computed tomography angiography (CTA) of the carotid arteries were identified. CTA studies were reviewed by a Neuroradiologist, and also independently processed with a computer algorithm that automatically measures the degree of luminal narrowing at the level of the internal carotid artery bulb. The findings of the Neuroradiologist and computer assessment were compared using Chi2 tests/kappa calculations and linear regression for categorical and continuous measurements of carotid stenosis, respectively. The study population consisted of 125 patients (74 no stroke/TIA, 18TIA, and 33 stroke). 201 carotid arteries showed no significant stenosis; 33 showed > or =70% stenosis, 5 showed 95-99% stenosis, and 11 showed complete occlusion. There was excellent agreement between the Neuroradiologist's visual assessment and the automated computer evaluation of the category of carotid stenosis (kappa=0.918, p<0.001). The automated computer algorithm for quantifying the degree of carotid stenosis is reliable and shows high concordance with the interpretation of an experienced Neuroradiologist.

  • Semi-automated computer assessment of the degree of carotid artery stenosis compares favorably to visual evaluation.
    Journal of the Neurological Sciences, 2008
    Co-Authors: Max Wintermark, Christine Glastonbury, Elizabeth Tong, Benison C Lau, Sarah Schaeffer, Jeffrey D Chien, Peter J Haar, David Saloner
    Abstract:

    Abstract Objective To validate a semi-automated computer approach for the assessment of the degree of carotid artery luminal narrowing by comparing it to the visual evaluation by a Neuroradiologist. Study design and main outcome measures In a retrospective cross-sectional study, consecutive emergency department patients who underwent computed tomography angiography (CTA) of the carotid arteries were identified. CTA studies were reviewed by a Neuroradiologist, and also independently processed with a computer algorithm that automatically measures the degree of luminal narrowing at the level of the internal carotid artery bulb. The findings of the Neuroradiologist and computer assessment were compared using Chi2 tests/kappa calculations and linear regression for categorical and continuous measurements of carotid stenosis, respectively. Results The study population consisted of 125 patients (74 no stroke/TIA, 18TIA, and 33 stroke). 201 carotid arteries showed no significant stenosis; 33 showed ≥ 70% stenosis, 5 showed 95–99% stenosis, and 11 showed complete occlusion. There was excellent agreement between the Neuroradiologist's visual assessment and the automated computer evaluation of the category of carotid stenosis (kappa = 0.918, p  Conclusion The automated computer algorithm for quantifying the degree of carotid stenosis is reliable and shows high concordance with the interpretation of an experienced Neuroradiologist.

Max Wintermark - One of the best experts on this subject based on the ideXlab platform.

  • asfnr recommendations for clinical performance of mr dynamic susceptibility contrast perfusion imaging of the brain
    American Journal of Neuroradiology, 2015
    Co-Authors: Kirk M Welker, Jerrold L Boxerman, Andrew Kalnin, Timothy J Kaufmann, Mark S Shiroishi, Max Wintermark
    Abstract:

    SUMMARY: MR perfusion imaging is becoming an increasingly common means of evaluating a variety of cerebral pathologies, including tumors and ischemia. In particular, there has been great interest in the use of MR perfusion imaging for both assessing brain tumor grade and for monitoring for tumor recurrence in previously treated patients. Of the various techniques devised for evaluating cerebral perfusion imaging, the dynamic susceptibility contrast method has been employed most widely among clinical MR imaging practitioners. However, when implementing DSC MR perfusion imaging in a contemporary radiology practice, a Neuroradiologist is confronted with a large number of decisions. These include choices surrounding appropriate patient selection, scan-acquisition parameters, data-postprocessing methods, image interpretation, and reporting. Throughout the imaging literature, there is conflicting advice on these issues. In an effort to provide guidance to Neuroradiologists struggling to implement DSC perfusion imaging in their MR imaging practice, the Clinical Practice Committee of the American Society of Functional Neuroradiology has provided the following recommendations. This guidance is based on review of the literature coupled with the practice experience of the authors. While the ASFNR acknowledges that alternate means of carrying out DSC perfusion imaging may yield clinically acceptable results, the following recommendations should provide a framework for achieving routine success in this complicated-but-rewarding aspect of neuroradiology MR imaging practice.

  • Semi-automated computer assessment of the degree of carotid artery stenosis compares favorably to visual evaluation.
    Journal of the neurological sciences, 2008
    Co-Authors: Max Wintermark, Christine Glastonbury, Elizabeth Tong, Benison C Lau, Sarah Schaeffer, Jeffrey D Chien, Peter J Haar, David Saloner
    Abstract:

    To validate a semi-automated computer approach for the assessment of the degree of carotid artery luminal narrowing by comparing it to the visual evaluation by a Neuroradiologist. In a retrospective cross-sectional study, consecutive emergency department patients who underwent computed tomography angiography (CTA) of the carotid arteries were identified. CTA studies were reviewed by a Neuroradiologist, and also independently processed with a computer algorithm that automatically measures the degree of luminal narrowing at the level of the internal carotid artery bulb. The findings of the Neuroradiologist and computer assessment were compared using Chi2 tests/kappa calculations and linear regression for categorical and continuous measurements of carotid stenosis, respectively. The study population consisted of 125 patients (74 no stroke/TIA, 18TIA, and 33 stroke). 201 carotid arteries showed no significant stenosis; 33 showed > or =70% stenosis, 5 showed 95-99% stenosis, and 11 showed complete occlusion. There was excellent agreement between the Neuroradiologist's visual assessment and the automated computer evaluation of the category of carotid stenosis (kappa=0.918, p<0.001). The automated computer algorithm for quantifying the degree of carotid stenosis is reliable and shows high concordance with the interpretation of an experienced Neuroradiologist.

  • Semi-automated computer assessment of the degree of carotid artery stenosis compares favorably to visual evaluation.
    Journal of the Neurological Sciences, 2008
    Co-Authors: Max Wintermark, Christine Glastonbury, Elizabeth Tong, Benison C Lau, Sarah Schaeffer, Jeffrey D Chien, Peter J Haar, David Saloner
    Abstract:

    Abstract Objective To validate a semi-automated computer approach for the assessment of the degree of carotid artery luminal narrowing by comparing it to the visual evaluation by a Neuroradiologist. Study design and main outcome measures In a retrospective cross-sectional study, consecutive emergency department patients who underwent computed tomography angiography (CTA) of the carotid arteries were identified. CTA studies were reviewed by a Neuroradiologist, and also independently processed with a computer algorithm that automatically measures the degree of luminal narrowing at the level of the internal carotid artery bulb. The findings of the Neuroradiologist and computer assessment were compared using Chi2 tests/kappa calculations and linear regression for categorical and continuous measurements of carotid stenosis, respectively. Results The study population consisted of 125 patients (74 no stroke/TIA, 18TIA, and 33 stroke). 201 carotid arteries showed no significant stenosis; 33 showed ≥ 70% stenosis, 5 showed 95–99% stenosis, and 11 showed complete occlusion. There was excellent agreement between the Neuroradiologist's visual assessment and the automated computer evaluation of the category of carotid stenosis (kappa = 0.918, p  Conclusion The automated computer algorithm for quantifying the degree of carotid stenosis is reliable and shows high concordance with the interpretation of an experienced Neuroradiologist.

Sarah Schaeffer - One of the best experts on this subject based on the ideXlab platform.

  • Semi-automated computer assessment of the degree of carotid artery stenosis compares favorably to visual evaluation.
    Journal of the neurological sciences, 2008
    Co-Authors: Max Wintermark, Christine Glastonbury, Elizabeth Tong, Benison C Lau, Sarah Schaeffer, Jeffrey D Chien, Peter J Haar, David Saloner
    Abstract:

    To validate a semi-automated computer approach for the assessment of the degree of carotid artery luminal narrowing by comparing it to the visual evaluation by a Neuroradiologist. In a retrospective cross-sectional study, consecutive emergency department patients who underwent computed tomography angiography (CTA) of the carotid arteries were identified. CTA studies were reviewed by a Neuroradiologist, and also independently processed with a computer algorithm that automatically measures the degree of luminal narrowing at the level of the internal carotid artery bulb. The findings of the Neuroradiologist and computer assessment were compared using Chi2 tests/kappa calculations and linear regression for categorical and continuous measurements of carotid stenosis, respectively. The study population consisted of 125 patients (74 no stroke/TIA, 18TIA, and 33 stroke). 201 carotid arteries showed no significant stenosis; 33 showed > or =70% stenosis, 5 showed 95-99% stenosis, and 11 showed complete occlusion. There was excellent agreement between the Neuroradiologist's visual assessment and the automated computer evaluation of the category of carotid stenosis (kappa=0.918, p<0.001). The automated computer algorithm for quantifying the degree of carotid stenosis is reliable and shows high concordance with the interpretation of an experienced Neuroradiologist.

  • Semi-automated computer assessment of the degree of carotid artery stenosis compares favorably to visual evaluation.
    Journal of the Neurological Sciences, 2008
    Co-Authors: Max Wintermark, Christine Glastonbury, Elizabeth Tong, Benison C Lau, Sarah Schaeffer, Jeffrey D Chien, Peter J Haar, David Saloner
    Abstract:

    Abstract Objective To validate a semi-automated computer approach for the assessment of the degree of carotid artery luminal narrowing by comparing it to the visual evaluation by a Neuroradiologist. Study design and main outcome measures In a retrospective cross-sectional study, consecutive emergency department patients who underwent computed tomography angiography (CTA) of the carotid arteries were identified. CTA studies were reviewed by a Neuroradiologist, and also independently processed with a computer algorithm that automatically measures the degree of luminal narrowing at the level of the internal carotid artery bulb. The findings of the Neuroradiologist and computer assessment were compared using Chi2 tests/kappa calculations and linear regression for categorical and continuous measurements of carotid stenosis, respectively. Results The study population consisted of 125 patients (74 no stroke/TIA, 18TIA, and 33 stroke). 201 carotid arteries showed no significant stenosis; 33 showed ≥ 70% stenosis, 5 showed 95–99% stenosis, and 11 showed complete occlusion. There was excellent agreement between the Neuroradiologist's visual assessment and the automated computer evaluation of the category of carotid stenosis (kappa = 0.918, p  Conclusion The automated computer algorithm for quantifying the degree of carotid stenosis is reliable and shows high concordance with the interpretation of an experienced Neuroradiologist.

Christine Glastonbury - One of the best experts on this subject based on the ideXlab platform.

  • Semi-automated computer assessment of the degree of carotid artery stenosis compares favorably to visual evaluation.
    Journal of the neurological sciences, 2008
    Co-Authors: Max Wintermark, Christine Glastonbury, Elizabeth Tong, Benison C Lau, Sarah Schaeffer, Jeffrey D Chien, Peter J Haar, David Saloner
    Abstract:

    To validate a semi-automated computer approach for the assessment of the degree of carotid artery luminal narrowing by comparing it to the visual evaluation by a Neuroradiologist. In a retrospective cross-sectional study, consecutive emergency department patients who underwent computed tomography angiography (CTA) of the carotid arteries were identified. CTA studies were reviewed by a Neuroradiologist, and also independently processed with a computer algorithm that automatically measures the degree of luminal narrowing at the level of the internal carotid artery bulb. The findings of the Neuroradiologist and computer assessment were compared using Chi2 tests/kappa calculations and linear regression for categorical and continuous measurements of carotid stenosis, respectively. The study population consisted of 125 patients (74 no stroke/TIA, 18TIA, and 33 stroke). 201 carotid arteries showed no significant stenosis; 33 showed > or =70% stenosis, 5 showed 95-99% stenosis, and 11 showed complete occlusion. There was excellent agreement between the Neuroradiologist's visual assessment and the automated computer evaluation of the category of carotid stenosis (kappa=0.918, p<0.001). The automated computer algorithm for quantifying the degree of carotid stenosis is reliable and shows high concordance with the interpretation of an experienced Neuroradiologist.

  • Semi-automated computer assessment of the degree of carotid artery stenosis compares favorably to visual evaluation.
    Journal of the Neurological Sciences, 2008
    Co-Authors: Max Wintermark, Christine Glastonbury, Elizabeth Tong, Benison C Lau, Sarah Schaeffer, Jeffrey D Chien, Peter J Haar, David Saloner
    Abstract:

    Abstract Objective To validate a semi-automated computer approach for the assessment of the degree of carotid artery luminal narrowing by comparing it to the visual evaluation by a Neuroradiologist. Study design and main outcome measures In a retrospective cross-sectional study, consecutive emergency department patients who underwent computed tomography angiography (CTA) of the carotid arteries were identified. CTA studies were reviewed by a Neuroradiologist, and also independently processed with a computer algorithm that automatically measures the degree of luminal narrowing at the level of the internal carotid artery bulb. The findings of the Neuroradiologist and computer assessment were compared using Chi2 tests/kappa calculations and linear regression for categorical and continuous measurements of carotid stenosis, respectively. Results The study population consisted of 125 patients (74 no stroke/TIA, 18TIA, and 33 stroke). 201 carotid arteries showed no significant stenosis; 33 showed ≥ 70% stenosis, 5 showed 95–99% stenosis, and 11 showed complete occlusion. There was excellent agreement between the Neuroradiologist's visual assessment and the automated computer evaluation of the category of carotid stenosis (kappa = 0.918, p  Conclusion The automated computer algorithm for quantifying the degree of carotid stenosis is reliable and shows high concordance with the interpretation of an experienced Neuroradiologist.

Elizabeth Tong - One of the best experts on this subject based on the ideXlab platform.

  • Semi-automated computer assessment of the degree of carotid artery stenosis compares favorably to visual evaluation.
    Journal of the neurological sciences, 2008
    Co-Authors: Max Wintermark, Christine Glastonbury, Elizabeth Tong, Benison C Lau, Sarah Schaeffer, Jeffrey D Chien, Peter J Haar, David Saloner
    Abstract:

    To validate a semi-automated computer approach for the assessment of the degree of carotid artery luminal narrowing by comparing it to the visual evaluation by a Neuroradiologist. In a retrospective cross-sectional study, consecutive emergency department patients who underwent computed tomography angiography (CTA) of the carotid arteries were identified. CTA studies were reviewed by a Neuroradiologist, and also independently processed with a computer algorithm that automatically measures the degree of luminal narrowing at the level of the internal carotid artery bulb. The findings of the Neuroradiologist and computer assessment were compared using Chi2 tests/kappa calculations and linear regression for categorical and continuous measurements of carotid stenosis, respectively. The study population consisted of 125 patients (74 no stroke/TIA, 18TIA, and 33 stroke). 201 carotid arteries showed no significant stenosis; 33 showed > or =70% stenosis, 5 showed 95-99% stenosis, and 11 showed complete occlusion. There was excellent agreement between the Neuroradiologist's visual assessment and the automated computer evaluation of the category of carotid stenosis (kappa=0.918, p<0.001). The automated computer algorithm for quantifying the degree of carotid stenosis is reliable and shows high concordance with the interpretation of an experienced Neuroradiologist.

  • Semi-automated computer assessment of the degree of carotid artery stenosis compares favorably to visual evaluation.
    Journal of the Neurological Sciences, 2008
    Co-Authors: Max Wintermark, Christine Glastonbury, Elizabeth Tong, Benison C Lau, Sarah Schaeffer, Jeffrey D Chien, Peter J Haar, David Saloner
    Abstract:

    Abstract Objective To validate a semi-automated computer approach for the assessment of the degree of carotid artery luminal narrowing by comparing it to the visual evaluation by a Neuroradiologist. Study design and main outcome measures In a retrospective cross-sectional study, consecutive emergency department patients who underwent computed tomography angiography (CTA) of the carotid arteries were identified. CTA studies were reviewed by a Neuroradiologist, and also independently processed with a computer algorithm that automatically measures the degree of luminal narrowing at the level of the internal carotid artery bulb. The findings of the Neuroradiologist and computer assessment were compared using Chi2 tests/kappa calculations and linear regression for categorical and continuous measurements of carotid stenosis, respectively. Results The study population consisted of 125 patients (74 no stroke/TIA, 18TIA, and 33 stroke). 201 carotid arteries showed no significant stenosis; 33 showed ≥ 70% stenosis, 5 showed 95–99% stenosis, and 11 showed complete occlusion. There was excellent agreement between the Neuroradiologist's visual assessment and the automated computer evaluation of the category of carotid stenosis (kappa = 0.918, p  Conclusion The automated computer algorithm for quantifying the degree of carotid stenosis is reliable and shows high concordance with the interpretation of an experienced Neuroradiologist.